IRIS
An operating system for explanatory models.
by Reckoning Machines
Work the way you think.
IRIS is where institutional investment research lives.
Models, Methods, evidence, reports, decisions, and memory remain connected in one repository.
Analyst pain points
Problems IRIS Solves
Context & memory
“What were we thinking going into earnings?”
“I have to paste my numbers into ChatGPT and explain the model every time.”
“Where did this number come from?”
“What changed since last quarter?”
“I need the model we used for the Board meeting.”
Model control
“I’m in a meeting. I don’t have my model.”
“I just saved over the wrong model.”
“Can someone send me the latest model?”
“I have no idea who changed this formula.”
“I want to schedule my model to update every morning before I get in.”
Research at scale
“I changed the model. Now I have to rewrite the note.”
“I want to run every bank model every night and update my dashboard.”
“Our research feels like it doesn’t compound.”
“I wish I could save this prompt with the model.”
Figure 1 The Research Velocity Flywheel The operating model behind IRIS.
IRIS reduces the time between a question and a decision. Each research cycle preserves the context, evidence, and judgment required for the next one.
Start with the model.
Search is the front door. Open a company, model, question, or research surface without managing files.
Work in the model.
Keep the familiar grid and familiar formulas, but attach assumptions, outputs, evidence, formulas, and reasoning to the model itself.
The spreadsheet stays familiar. The context becomes durable.
METHOD
Teach IRIS how your team works.
One formula. One Method. Preserved forever.
Methods are reusable analytical procedures.
They preserve not only what your analysts concluded, but how they reached the conclusion.
Every execution strengthens institutional memory.
Ask the model.
Research Rail is the analyst interface to the repository.
- Why?
- What changed?
- What stands out?
- Have we believed this before?
- Remember this.
- What if margin were 5%?
- Write the report.
Ask questions. Run research. Test scenarios. Build memory.
Take the model into the room.
Meeting Mode turns the repository into a phone-native decision surface. See the current conclusion, key outputs, and model context without opening Excel.
The model stays behind the answer. The answer goes wherever the decision happens.
Turn work into communication.
Reports are emitted from model work. The explanation stays attached to the assumptions, outputs, evidence, and changes that produced it.
Preserve what changed.
The timeline keeps institutional memory: what changed, when it changed, and why it mattered. Every decision becomes part of the model's history.
Serious research teams move faster when the model remembers.
One repository.
One timeline.
One Research Rail.
One model.
Everything stays connected.